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Data Engineer

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Hybrid

Data Engineer

Hexaware Technologies

Data Engineer

Skills

Google Cloud PlatformSQL QueriesBig DataPythonDatabricksAWSHadoopAzure

2 months ago

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Important information


Contract type:

Permanent

Salary:

₹1,700,000 – ₹3,200,000 / year

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

26 August 2026

What they need


Roles and Responsibilities

  • Design, develop, and maintain large-scale data pipelines using Azure Databricks, Python, and Data Factory.
  • Collaborate with cross-functional teams to gather requirements and deliver high-quality solutions on time.
  • Develop complex SQL queries to extract insights from massive datasets stored in Azure Blob Storage.
  • Implement data quality checks and validation processes to ensure accuracy and integrity of the data.
  • Troubleshoot issues related to pipeline failures or errors in real-time.

Desired Candidate Profile

  • 9-14 years of experience as a Data Engineer with expertise in Azure Databricks, Python, and Data Factory.
  • Strong understanding of big data technologies such as Hadoop Distributed File System (HDFS), Apache Spark, etc. .
  • Experience working with cloud-based platforms like AWS or GCP is an added advantage.
  • Proficiency in writing complex SQL queries for querying large datasets stored in Azure Blob Storage.

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